Tomography of the spatial structure of light

• URL: http://arxiv.org/abs/2404.05616v2
• Date: Wed, 06 Nov 2024 20:23:51 GMT
• Title: Tomography of the spatial structure of light
• Authors: M. Gil de Oliveira, A. L. S. Santos Junior, P. M. R. Lima, A. C. Barbosa, B. Pinheiro da Silva, S. Padua, A. Z. Khoury,
• Abstract summary: We consider a spatially structured light mode that is specified by coefficients with respect to some basis, such as the Laguerre-Gaussian or Hermite-Gaussian modes. We explore a mathematical analogy between this problem and quantum state tomography, which allows us to readily utilize many techniques of this well established field. The work here presented is expected to help the development of characterization techniques in the field of structured light and in its application for both classical and quantum information protocols.
• Score: 0.0
• License:
• Abstract: In this work we study, both theoretically and experimentally, the tomography of the spatial structure of light. We consider a a spatially structured light mode that is specified by coefficients with respect to some basis, such as the Laguerre-Gaussian or Hermite-Gaussian modes. Our aim is to retrieve these coefficients given only spatially resolved intensity measurements. We explore a mathematical analogy between this problem and quantum state tomography, which allows us to readily utilize many techniques of this well established field. In order to demonstrate the robustness of our approach, we apply it to several different experimental scenarios: intense light beams in a variety of basis, the photocount regime, and beams obstructed by obstacles. The method is also extremely fast, being able to perform the tomography of a 6-dimensional state at around 50$\mu$s. The work here presented is expected to help the development of characterization techniques in the field of structured light and in its application for both classical and quantum information protocols.

Related papers

• Ground-based image deconvolution with Swin Transformer UNet [2.41675832913699]
  We introduce a two-step deconvolution framework using a Swin Transformer architecture. Our study reveals that the deep learning-based solution introduces a bias, constraining the scope of scientific analysis. We propose a novel third step relying on the active coefficients in the sparsity wavelet framework.
  arXiv  Detail & Related papers  (2024-05-13T15:30:41Z)
• Deep-learning-assisted optical communication with discretized state space of structured light [2.884252230064288]
  We present a novel method that uses the advanced deep learning technique for LG modes recognition. A proof-of-principle experiment is also performed, showing that our method effectively categorizes OAM states with small training samples and high accuracy. This work opens up a new avenue for achieving high-capacity optical communication with low OAM number based on structured light.
  arXiv  Detail & Related papers  (2024-03-14T15:03:09Z)
• Tutorial: Shaping the Spatial Correlations of Entangled Photon Pairs [1.2316671400812602]
  This tutorial describes how the concepts of classical light shaping can be applied to imaging schemes based on entangled photon pairs. We detail two basic experimental configurations in which a spatial light modulator is used to shape the spatial correlations of a photon pair state. We showcase two recent examples that expand on these concepts to perform aberration and scattering correction with photon pairs.
  arXiv  Detail & Related papers  (2024-02-12T14:20:33Z)
• Simulating Gaussian boson sampling quantum computers [68.8204255655161]
  We briefly review recent theoretical methods to simulate experimental Gaussian boson sampling networks. We focus mostly on methods that use phase-space representations of quantum mechanics. A brief overview of the theory of GBS, recent experiments and other types of methods are also presented.
  arXiv  Detail & Related papers  (2023-08-02T02:03:31Z)
• Retrieving space-dependent polarization transformations via near-optimal quantum process tomography [55.41644538483948]
  We investigate the application of genetic and machine learning approaches to tomographic problems. We find that the neural network-based scheme provides a significant speed-up, that may be critical in applications requiring a characterization in real-time. We expect these results to lay the groundwork for the optimization of tomographic approaches in more general quantum processes.
  arXiv  Detail & Related papers  (2022-10-27T11:37:14Z)
• Regression of high dimensional angular momentum states of light [47.187609203210705]
  We present an approach to reconstruct input OAM states from measurements of the spatial intensity distributions they produce. We showcase our approach in a real photonic setup, generating up-to-four-dimensional OAM states through a quantum walk dynamics.
  arXiv  Detail & Related papers  (2022-06-20T16:16:48Z)
• Ultra-long photonic quantum walks via spin-orbit metasurfaces [52.77024349608834]
  We report ultra-long photonic quantum walks across several hundred optical modes, obtained by propagating a light beam through very few closely-stacked liquid-crystal metasurfaces. With this setup we engineer quantum walks up to 320 discrete steps, far beyond state-of-the-art experiments.
  arXiv  Detail & Related papers  (2022-03-28T19:37:08Z)
• Enhanced detection techniques of Orbital Angular Momentum states in the classical and quantum regimes [48.7576911714538]
  Complex structure inherent in Orbital Angular Momentum (OAM) states makes their detection and classification nontrivial. Most of the current detection schemes are based on models of the OAM states built upon the use of Laguerre-Gauss modes. We employ Hypergeometric-Gaussian modes as the basis states of a refined model that can be used -- in certain scenarios -- to better tailor OAM detection techniques.
  arXiv  Detail & Related papers  (2022-01-19T18:46:34Z)
• Conditional preparation of non-Gaussian quantum optical states by mesoscopic measurement [62.997667081978825]
  Non-Gaussian states of an optical field are important as a proposed resource in quantum information applications. We propose a novel approach involving displacement of the ancilla field into the regime where mesoscopic detectors can be used. We conclude that states with strong Wigner negativity can be prepared at high rates by this technique under experimentally attainable conditions.
  arXiv  Detail & Related papers  (2021-03-29T16:59:18Z)
• Conditional Spectroscopy via Non-Stationary Optical Homodyne Quantum State Tomography [0.0]
  We introduce non-stationary quantum state tomography, which adapts the technique to the special requirements of ultrafast spectroscopy. In detail, we gain access to the amplitude and phase of light fields with a temporal resolution of about 100,fs without the need for a fixed phase reference.
  arXiv  Detail & Related papers  (2020-02-04T18:42:39Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.